染色親合力 的英文怎麼說

中文拼音 [rǎnshǎiqīngělì]
染色親合力 英文
dyeing affinity
  • 染 : Ⅰ動詞1 （用染料著色）dye 2 （感染） catch [contract] （a disease） 3 （沾染） acquire （a bad hab...
  • 色 : 色名詞[口語] （顏色） colour
  • 合 : 合量詞（容量單位） ge, a unit of dry measure for grain （=1 decilitre）
  • 力 : Ⅰ名1 （力量; 能力） power; strength; ability; capacity 2 [物理學] （改變物體運動狀態的作用） forc...
  • 染色 : dye; dyeing; colouration; tintage; tinging; dyschroia; colouring; colour; [半] decoration染色不足...
  1. The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  2. Abstract : the characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    文摘:分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  3. Since our establishment, we have devoted to researching and producing fabric with the process of textile weaving, finishing after dyeing, clothing production. after deep researching and understanding every fabric characteristic, we also enhance the process of fabric functionality in the production with the aim to serve better for clothing production with the result of being closer to skin by making perfection of combining cozy feeling with quality and pattern. we have developed some functional fabrics such as moisture absorbing dry quickly, anti - static, ultraviolet radiation resistance, anti - bacteria and expel adour, flame retardant, mildew - water - fire proofing, etc

    公司自成立以來全心全意致力於面料的生產研發，從織物結構織造到后整染色加工，再到成衣在充分的研究與了解了各種纖維的特性后，在面料的生產過程中，又增加了其功能性的處理，使舒適度與外觀材質完美的結合，更加的親近肌膚，從而更好的為成衣服務。
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